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Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = -0.2 * weight + 48

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# Rider Weight (KG)
1 VANENDERT Jelle62
3 DUIJN Huub73
4 VAN AVERMAET Greg74
6 SØRENSEN Chris Anker64
7 CORNU Dominique78
9 DE GENDT Thomas73
12 MAES Nikolas78
15 VANDEWALLE Kristof74
17 SURAY Gil67
18 HOUANARD Steve70
19 JACOBS Pieter68
24 MEERSMAN Gianni63
26 TIMMER Albert77
29 TURGOT Sébastien73
30 ISTA Kevyn70
35 WYSS Danilo65
36 MURPHY John81
40 GOURGUE Benjamin62
46 MORTENSEN Martin70
53 OFFREDO Yoann69
55 DE BAAT Arjen66
57 BAUGNIES Jérôme69
59 SCHÄR Michael78
60 VAN VOOREN Steven75
65 VANDENBERGH Stijn86
68 KOZONTCHUK Dmitry75
69 QUÉMÉNEUR Perrig67
72 DEROO David61
76 DEVILLERS Gilles62